What's New in Tidymodels with Emill Hvitfeldt

The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. This talk will touch on a number of new additions and in-process work being done by the team.
Emil Hvitfeldt is a software engineer at Posit and part of the tidymodels team’s effort to improve R’s modeling capabilities. He maintains several packages within the realms of modeling, text analysis, and color palettes. Trying to make slidecrafting a well respecting verb. He co-authored the book Supervised Machine Learning for Text Analysis in R with Julia Silge.
#RStats #DataScience #tidymodels #RStudio #Posit #academia

[@aazizskills]

What is the name of notebook which is used in this tutorial?

[@djangoworldwide7925]

Could not find the specific dataset in Kaggle. please provide a link (preferably one that we can paste as a link to download the CSV in r). also, use of Surv requires survival:: (installed with tidymodels but needs to be specifically called - kinda like scales::)

[@rusergroupatharvarddatasci7232]

Hi! Christian here - I think you can find the data here: www.kaggle.com/datasets/rounakbanik/the-movies-dataset?select=keywords.csv
You can also find Emil's data cleaning/prep code here: github.com/EmilHvitfeldt/talk-harvard-tidymodels/blob/main/R/data-prep.R